Forest biodiversity monitoring based on remotely sensed spectral diversity—A review
Forests are essential for global environmental well-being because of their rich provision of
ecosystem services and regulating factors. Global forests are under increasing pressure …
ecosystem services and regulating factors. Global forests are under increasing pressure …
[HTML][HTML] Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing
Twenty years ago, the Spectral Variation Hypothesis (SVH) was formulated as a means to
link between different aspects of biodiversity and spatial patterns of spectral data (eg …
link between different aspects of biodiversity and spatial patterns of spectral data (eg …
[HTML][HTML] LiDAR GEDI derived tree canopy height heterogeneity reveals patterns of biodiversity in forest ecosystems
Abstract The “Height Variation Hypothesis” is an indirect approach used to estimate forest
biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) …
biodiversity through remote sensing data, stating that greater tree height heterogeneity (HH) …
Mountain tree species mapping using Sentinel-2, PlanetScope, and airborne hyspex hyperspectral imagery
Europe's mountain forests, which are naturally valuable areas due to their high biodiversity
and well-preserved natural characteristics, are experiencing major alterations, so an …
and well-preserved natural characteristics, are experiencing major alterations, so an …
The relationship between spectral and plant diversity: Disentangling the influence of metrics and habitat types at the landscape scale
Biodiversity monitoring is crucial for ecosystem conservation, but ground data collection is
limited by cost, time, and scale. Remote sensing is a convenient approach providing …
limited by cost, time, and scale. Remote sensing is a convenient approach providing …
Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation …
A Ludwig, D Doktor, H Feilhauer - Remote Sensing of Environment, 2024 - Elsevier
Abstract Covering 30%–40% of the terrestrial surface, grasslands are important hosts of
biodiversity, crucial for nutrient cycles and carbon sequestration. However, these …
biodiversity, crucial for nutrient cycles and carbon sequestration. However, these …
Monitoring vegetation-and geodiversity with remote sensing and traits
Geodiversity has shaped and structured the Earth's surface at all spatio-temporal scales, not
only through long-term processes but also through medium-and short-term processes …
only through long-term processes but also through medium-and short-term processes …
[HTML][HTML] Uncovering the hidden: Leveraging sub-pixel spectral diversity to estimate plant diversity from space
C Rossi, H Gholizadeh - Remote Sensing of Environment, 2023 - Elsevier
Remotely sensed spectral diversity has emerged as a promising proxy for plant diversity.
However, spectral diversity approaches relate image spectra to plant community diversity by …
However, spectral diversity approaches relate image spectra to plant community diversity by …
Earth-observation-based monitoring of forests in Germany—recent progress and research frontiers: a review
One-third of Germany's land surface area is covered by forest (around 11.4 million hectares),
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …
and thus, it characterizes the landscape. The forest is a habitat for a large number of animal …
Monitoring Water Diversity and Water Quality with Remote Sensing and Traits
Changes and disturbances to water diversity and quality are complex and multi-scale in
space and time. Although in situ methods provide detailed point information on the condition …
space and time. Although in situ methods provide detailed point information on the condition …